UTS-CMU-D2DCRC Submission at TRECVID 2016 Video Localization. - Linchao Zhu; Xuanyi Dong; Yi Yang 001; Alexander G. Hauptmann (TRECVID, 2016)

More is Less: A More Complicated Network with Less Inference Complexity. - Xuanyi Dong; Junshi Huang; Yi Yang 001; Shuicheng Yan (CVPR, 2017)

Self-Paced Co-training. - Fan Ma; Deyu Meng; Qi Xie; Zina Li; Xuanyi Dong (ICML, 2017)

A Dual-Network Progressive Approach to Weakly Supervised Object Detection. - Xuanyi Dong; Deyu Meng; Fan Ma; Yi Yang 001 (ACM Multimedia, 2017)

Few-shot Object Detection. - Xuanyi Dong; Liang Zheng 001; Fan Ma; Yi Yang 001; Deyu Meng (CoRR, 2017)

PatchShuffle Regularization. - Guoliang Kang; Xuanyi Dong; Liang Zheng 001; Yi Yang 001 (CoRR, 2017)

EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks. - Xuanyi Dong; Guoliang Kang; Kun Zhan; Yi Yang 001 (CoRR, 2017)

Style Aggregated Network for Facial Landmark Detection. - Xuanyi Dong; Yan Yan 006; Wanli Ouyang; Yi Yang 001 (CVPR, 2018)

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors. - Xuanyi Dong; Shoou-I Yu; Xinshuo Weng; Shih-En Wei; Yi Yang 001; Yaser Sheikh (CVPR, 2018)

Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning. - Yu Wu 011; Yutian Lin; Xuanyi Dong; Yan Yan 006; Wanli Ouyang; Yi Yang 001 (CVPR, 2018)

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks. - Yang He 002; Guoliang Kang; Xuanyi Dong; Yanwei Fu 001; Yi Yang 001 (IJCAI, 2018)

Fast Parameter Adaptation for Few-shot Image Captioning and Visual Question Answering. - Xuanyi Dong; Linchao Zhu; De Zhang; Yi Yang 001; Fei Wu 001 (ACM Multimedia, 2018)

Activities in Extended Video. - Fan Ma; Peike Li; Linchao Zhu; Xuanyi Dong; Yanbin Liu; Yi Yang 001 (TRECVID, 2018)

UTS_CAI submission at TRECVID 2018 Ad-hoc Video Search Task. - Fengda Zhu; Xiaohan Wang; Linchao Zhu; Xuanyi Dong; Yi Yang 001 (TRECVID, 2018)

Progressive Deep Neural Networks Acceleration via Soft Filter Pruning. - Yang He 002; Xuanyi Dong; Guoliang Kang; Yanwei Fu 001; Yi Yang 001 (CoRR, 2018)

A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification. - Yutian Lin; Xuanyi Dong; Liang Zheng 001; Yan Yan 002; Yi Yang 001 (AAAI, 2019)

Searching for a Robust Neural Architecture in Four GPU Hours. - Xuanyi Dong; Yi Yang 001 (CVPR, 2019)

Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection. - Xuanyi Dong; Yi Yang 001 (ICCV, 2019)

One-Shot Neural Architecture Search via Self-Evaluated Template Network. - Xuanyi Dong; Yi Yang 001 (ICCV, 2019)

Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification. - Ruijie Quan; Xuanyi Dong; Yu Wu 011; Linchao Zhu; Yi Yang 001 (ICCV, 2019)

Network Pruning via Transformable Architecture Search. - Xuanyi Dong; Yi Yang 001 (NeurIPS, 2019)

Few-Example Object Detection with Model Communication. - Xuanyi Dong; Liang Zheng 001; Fan Ma; Yi Yang 001; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Late Fusion via Subspace Search With Consistency Preservation. - Xuanyi Dong; Yan Yan 006; Mingkui Tan; Yi Yang 001; Ivor W. Tsang (IEEE Trans. Image Process., 2019)

Progressive Learning for Person Re-Identification With One Example. - Yu Wu 011; Yutian Lin; Xuanyi Dong; Yan Yan 006; Wei Bian; Yi Yang 001 (IEEE Trans. Image Process., 2019)

When Humans Meet Machines: Towards Efficient Segmentation Networks. - Peike Li; Xuanyi Dong; Xin Yu 002; Yi Yang 001 (BMVC, 2020)

NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search. - Xuanyi Dong; Yi Yang 001 (ICLR, 2020)

PyGlove: Symbolic Programming for Automated Machine Learning. - Daiyi Peng; Xuanyi Dong; Esteban Real; Mingxing Tan; Yifeng Lu; Gabriel Bender; Hanxiao Liu; Adam Kraft; Chen Liang; Quoc Le 001 (NeurIPS, 2020)

AutoHAS: Differentiable Hyper-parameter and Architecture Search. - Xuanyi Dong; Mingxing Tan; Adams Wei Yu; Daiyi Peng; Bogdan Gabrys; Quoc V. Le (CoRR, 2020)

Self-paced Multi-view Co-training. - Fan Ma; Deyu Meng; Xuanyi Dong; Yi Yang 001 (J. Mach. Learn. Res., 2020)

Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks. - Yang He 002; Xuanyi Dong; Guoliang Kang; Yanwei Fu 001; Chenggang Yan 001; Yi Yang 001 (IEEE Trans. Cybern., 2020)

Compact Design of Passive Networks in RF and Millimeter-Wave Integrated Circuits (invited). - Xuanyi Dong; Andreas Weisshaar (BCICTS, 2021)

Isometric Propagation Network for Generalized Zero-shot Learning. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Xuanyi Dong; Chengqi Zhang (ICLR, 2021)

Recognizing Vector Graphics without Rasterization. - Xinyang Jiang; Lu Liu 019; Caihua Shan; Yifei Shen; Xuanyi Dong; Dongsheng Li 002 (NeurIPS, 2021)

Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation. - Tianqi Tang 002; Xin Yu 002; Xuanyi Dong; Yi Yang 001 (WACV, 2021)

Rethinking Co-design of Neural Architectures and Hardware Accelerators. - Yanqi Zhou; Xuanyi Dong; Berkin Akin; Mingxing Tan; Daiyi Peng; Tianjian Meng; Amir Yazdanbakhsh; Da Huang; Ravi Narayanaswami; James Laudon (CoRR, 2021)

Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision. - Bo Li 080; Xinyang Jiang; Donglin Bai; Yuge Zhang; Ningxin Zheng; Xuanyi Dong; Lu Liu 019; Yuqing Yang 001; Dongsheng Li 002 (CoRR, 2021)

Supervision by Registration and Triangulation for Landmark Detection. - Xuanyi Dong; Yi Yang 001; Shih-En Wei; Xinshuo Weng; Yaser Sheikh; Shoou-I Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Efficient and Reproducible Automated Deep Learning - Xuanyi Dong (2021)

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002; Tung Kieu; Xuanyi Dong; Shirui Pan (IJCAI, 2022)

Towards the Co-design of Neural Networks and Accelerators. - Yanqi Zhou; Xuanyi Dong; Tianjian Meng; Mingxing Tan; Berkin Akin; Daiyi Peng; Amir Yazdanbakhsh; Da Huang; Ravi Narayanaswami; James Laudon (MLSys, 2022)

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002; Tung Kieu; Xuanyi Dong; Shirui Pan (CoRR, 2022)

NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size. - Xuanyi Dong; Lu Liu 019; Katarzyna Musial; Bogdan Gabrys (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Symbolic Discovery of Optimization Algorithms. - Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Hieu Pham 001; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le (NeurIPS, 2023)

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. - Sang Michael Xie; Hieu Pham 001; Xuanyi Dong; Nan Du 002; Hanxiao Liu; Yifeng Lu; Percy Liang; Quoc V. Le; Tengyu Ma 001; Adams Wei Yu (NeurIPS, 2023)

PyGlove: Efficiently Exchanging ML Ideas as Code. - Daiyi Peng; Xuanyi Dong; Esteban Real; Yifeng Lu; Quoc V. Le (CoRR, 2023)

Symbolic Discovery of Optimization Algorithms. - Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Yao Liu; Hieu Pham 001; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le (CoRR, 2023)

Automated Deep Learning: Neural Architecture Search Is Not the End. - Xuanyi Dong; David Jacob Kedziora; Katarzyna Musial; Bogdan Gabrys (Found. Trends Mach. Learn., 2024)

Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset. - Shuguang Dou; Xinyang Jiang; Lu Liu 019; Lu Ying; Caihua Shan; Yifei Shen; Xuanyi Dong; Yun Wang 012; Dongsheng Li 002; Cairong Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)